Course Outline

Introduction

  • Why combine machine learning (ML) with business rules (BR)?

Installing and Configuring Rules Learner

Architecture Overview

  • The OpenRules Business Rules Management System and Rule Learner

Rules Discovery in ML and BR

Extracting Patterns from Data

Generating Classification Rules

Creating Training Sets for Supervised Machine Learning

Integrating Machine Learning Algorithms with Rules Learner

Parsing and Converting Rules into Different Formats

Executing Rules with Rules Engine

Updating Training Rules

Reducing Rule Redundancy

Maintenance and Troubleshooting

Summary and Conclusion

Requirements

  • An understanding of business rules concepts
  • An understanding of machine learning concepts
  14 Hours
 

Number of participants


Starts

Ends


Dates are subject to availability and take place between 10:00 and 17:00.
Open Training Courses require 5+ participants.

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